Volume III includes more selections of articles that have initiated fundamental changes in statistical methodology. It contains articles published before 1980 that were overlooked in the previous two volumes plus articles from the 1980's - all of them chosen after consulting many of today's leading statisticians. This is the third volume of a collection of seminal papers in the statistical science written during the past 110 years. These papers have each had an outstanding influence on the development of statistical theory and practice over the last century. Each paper is preceded by an…mehr
Volume III includes more selections of articles that have initiated fundamental changes in statistical methodology. It contains articles published before 1980 that were overlooked in the previous two volumes plus articles from the 1980's - all of them chosen after consulting many of today's leading statisticians.This is the third volume of a collection of seminal papers in the statistical science written during the past 110 years. These papers have each had an outstanding influence on the development of statistical theory and practice over the last century. Each paper is preceded by an introduction written by an authority in the field providing background information and assessing its influence.
Samuel Kotz, PhD, honorary Doctor of Science, is professor and research scholar at the Department of Engineering Management and Systems Engineering at George Washington University in Washington, D.C.
Inhaltsangabe
1. Introduction by R.E.Fancher: Galton,F. (1889) Co-relations and their measurement, chiefly from anthropometric data; 2. Introduction by K. Dietz: McKendrick, A.G.(1926) Applications of mathematics to medical problems; 3.Introduction by D.R. Cox: Yates, F.and Cochran, W.G.(1938) The analysis of groups of experiments; 4. Introduction by P.K. Sen: Rao, C.R.(1948) Large sample tests of statistical hypotheses concerning several parameters with application to problems of estimation; 5. Introduction by M.H. Gail: Cornfield, J.(1951) A method of estimating comparative rates from clinical data. Applications to cancer of the lung, breast and cervix; 6. Introduction by M. Calder and R.A. Davis: Whittle, P.(1953) The analysis of multiple stationary time series; 7. Introduction by E. Ronchetti: Daniels, H.E.(1954) Saddlepoint approximations in statistics; 8. Introduction by I.J. Good: Cooley, J.W. and Turkey, J.W.(1965) An algorithm for the machine calculation of complex Fourier series; 9. Introduction by R.J. Beran: Hajek, J.(1970) A characterization of limiting distributions of regular estimates; 10. Introduction by T.L. Lai: Hastings, W.K.(1970) Monte Carlo sampling methods using Markov chains and their applications; 11. Introduction by J.J. Deely: Lindley, D.V.and Smith, A.F.M.(1972) Bayes estimates for the linear model; 12. Introduction by R.L. Smith: Besag, J.(1974) Spatial interaction and the statistical analysis of lattice systems; 13. Introduction by J.F. Pfanzagl: Levit, B.Ya.(1974) On optimality of some statistical estimates; 14. Introduction by I.W. McKeague: Aalen, O.(1978) Nonparametric estimation of partial transition probabilities in multiple decrement models; 15. Introduction by G.G. Letac: Morris, C.N.(1982) Natural exponential families with quadratic variance functions; 16. Introduction by T.H. DiCiccio: Barndorff-Nielsen, O.E.(1983) On a formula for the distribution of the maximum likelihood estimator; 17. Introduction by P.J. Huber: Geman, S. and Geman, D.(1984) Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images; 18. Introduction by D.G. Simpson: Rousseeuw, P.J.(1984) Least median of squares regressions; 19. Introduction by P.J. Diggle. Liang, K.Y.and Zeger, S.L.(1986) Longitudinal data analysis using generalized linear models; 20. Introduction by E. Mammen. Hall, P.(1988) Theoretical comparison of bootstrap confidence intervals; 21. Introduction by D.M. Timerington: Gelfand, A.E.and Smith, A.F.M.(1990) Sampling-based approaches to calculating marginal densities.
by S. Geisser.- Fisher, R.A. (1922) On the Mathematical Foundations of Theoretical Statistics.- by T.W. Anderson.- Hotelling, H. (1931) The Generalization of Student's Ratio.- by E.L. Lehmann.- Neyman, J. and Pearson, E.S. (1933) On the Problem of the Most Efficient Tests of Statistical Hypotheses.- by D.A.S. Fraser.- by D.A.S. Fraser.- by R.E. Barlow.- de Finetti, B. (1937) Foresight: It's Logical Laws, Its Subjective Sources.- by M.R. Leadbetter.- Cramér, H. (1942) On Harmonic Analysis in Certain Functional Spaces.- by R.L. Smith.- Gnedenko, B.V. (1943) On the Limiting Distribution of the Maximum Term in a Random Series.- by P.K. Pathak.- Rao, C.R. (1945) Information and the Accuracy Attainable in the Estimation of Statistical Parameters.- by B.K. Ghosh.- Wald, A. (1945) Sequential Tests of Statistical Hypotheses.- by P.K. Sen.- Hoeffding, W. (1948) A Class of Statistics with Asymptotically Normal Distribution.- by L. Weiss.- Wald, A. (1949) Statistical Decision Functions.- by D.V. Lindley.- by D.V. Lindley.- by I.J. Good.- Robbins, H.E. (1955) An Empirical Bayes Approach to Statistics.- by H.P. Wynn.- Kiefer, J.C. (1959) Optimum Experimental Designs.- by B. Efron.- by B. Efron.- by J.F. Bjþrnstad.- Birnbaum, A. (1962) On the Foundations of Statistical Inference.- by W.U. DuMouchel.- Edwards, W., Lindman, H., and Savage, L.J. (1963) Bayesian Statistical Inference for Psychological Research.- by N. Reid.- Fraser, D.A.S. (1966) Structural Probability and a Generalization.- by J. de Leeuw.- Akaike, H. (1973) Information Theory and an Extension of the Maximum Likelihood Principle.
1. Introduction by R.E.Fancher: Galton,F. (1889) Co-relations and their measurement, chiefly from anthropometric data; 2. Introduction by K. Dietz: McKendrick, A.G.(1926) Applications of mathematics to medical problems; 3.Introduction by D.R. Cox: Yates, F.and Cochran, W.G.(1938) The analysis of groups of experiments; 4. Introduction by P.K. Sen: Rao, C.R.(1948) Large sample tests of statistical hypotheses concerning several parameters with application to problems of estimation; 5. Introduction by M.H. Gail: Cornfield, J.(1951) A method of estimating comparative rates from clinical data. Applications to cancer of the lung, breast and cervix; 6. Introduction by M. Calder and R.A. Davis: Whittle, P.(1953) The analysis of multiple stationary time series; 7. Introduction by E. Ronchetti: Daniels, H.E.(1954) Saddlepoint approximations in statistics; 8. Introduction by I.J. Good: Cooley, J.W. and Turkey, J.W.(1965) An algorithm for the machine calculation of complex Fourier series; 9. Introduction by R.J. Beran: Hajek, J.(1970) A characterization of limiting distributions of regular estimates; 10. Introduction by T.L. Lai: Hastings, W.K.(1970) Monte Carlo sampling methods using Markov chains and their applications; 11. Introduction by J.J. Deely: Lindley, D.V.and Smith, A.F.M.(1972) Bayes estimates for the linear model; 12. Introduction by R.L. Smith: Besag, J.(1974) Spatial interaction and the statistical analysis of lattice systems; 13. Introduction by J.F. Pfanzagl: Levit, B.Ya.(1974) On optimality of some statistical estimates; 14. Introduction by I.W. McKeague: Aalen, O.(1978) Nonparametric estimation of partial transition probabilities in multiple decrement models; 15. Introduction by G.G. Letac: Morris, C.N.(1982) Natural exponential families with quadratic variance functions; 16. Introduction by T.H. DiCiccio: Barndorff-Nielsen, O.E.(1983) On a formula for the distribution of the maximum likelihood estimator; 17. Introduction by P.J. Huber: Geman, S. and Geman, D.(1984) Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images; 18. Introduction by D.G. Simpson: Rousseeuw, P.J.(1984) Least median of squares regressions; 19. Introduction by P.J. Diggle. Liang, K.Y.and Zeger, S.L.(1986) Longitudinal data analysis using generalized linear models; 20. Introduction by E. Mammen. Hall, P.(1988) Theoretical comparison of bootstrap confidence intervals; 21. Introduction by D.M. Timerington: Gelfand, A.E.and Smith, A.F.M.(1990) Sampling-based approaches to calculating marginal densities.
by S. Geisser.- Fisher, R.A. (1922) On the Mathematical Foundations of Theoretical Statistics.- by T.W. Anderson.- Hotelling, H. (1931) The Generalization of Student's Ratio.- by E.L. Lehmann.- Neyman, J. and Pearson, E.S. (1933) On the Problem of the Most Efficient Tests of Statistical Hypotheses.- by D.A.S. Fraser.- by D.A.S. Fraser.- by R.E. Barlow.- de Finetti, B. (1937) Foresight: It's Logical Laws, Its Subjective Sources.- by M.R. Leadbetter.- Cramér, H. (1942) On Harmonic Analysis in Certain Functional Spaces.- by R.L. Smith.- Gnedenko, B.V. (1943) On the Limiting Distribution of the Maximum Term in a Random Series.- by P.K. Pathak.- Rao, C.R. (1945) Information and the Accuracy Attainable in the Estimation of Statistical Parameters.- by B.K. Ghosh.- Wald, A. (1945) Sequential Tests of Statistical Hypotheses.- by P.K. Sen.- Hoeffding, W. (1948) A Class of Statistics with Asymptotically Normal Distribution.- by L. Weiss.- Wald, A. (1949) Statistical Decision Functions.- by D.V. Lindley.- by D.V. Lindley.- by I.J. Good.- Robbins, H.E. (1955) An Empirical Bayes Approach to Statistics.- by H.P. Wynn.- Kiefer, J.C. (1959) Optimum Experimental Designs.- by B. Efron.- by B. Efron.- by J.F. Bjþrnstad.- Birnbaum, A. (1962) On the Foundations of Statistical Inference.- by W.U. DuMouchel.- Edwards, W., Lindman, H., and Savage, L.J. (1963) Bayesian Statistical Inference for Psychological Research.- by N. Reid.- Fraser, D.A.S. (1966) Structural Probability and a Generalization.- by J. de Leeuw.- Akaike, H. (1973) Information Theory and an Extension of the Maximum Likelihood Principle.
Es gelten unsere Allgemeinen Geschäftsbedingungen: www.buecher.de/agb
Impressum
www.buecher.de ist ein Shop der buecher.de GmbH & Co. KG Bürgermeister-Wegele-Str. 12, 86167 Augsburg Amtsgericht Augsburg HRA 13309
